乳腺癌癌因性疲乏管理知识图谱的构建
Construction of a knowledge graph for management of cancer-related fatigue in breast cancer survivors
丁元旗 1黄青梅 1吴傅蕾 1王玲 1杨瑒 2李军 3袁长蓉1
作者信息
- 1. 复旦大学护理学院(上海,200032)
- 2. 复旦大学附属肿瘤医院
- 3. 南京大学社会学院
- 折叠
摘要
目的 构建乳腺癌癌因性疲乏管理的知识图谱,为健康领域个性化推荐系统和智能问答系统的开发奠定基础.方法 采用 自顶向下的方法构建乳腺癌癌因性疲乏管理知识图谱.首先,采用文献研究法建立疲乏管理知识库,为图谱构建提供知识来源;其次,构建知识图谱的本体模式层,完成知识建模;再次,采用人工方法基于本体模式层对知识库中的内容进行知识抽取,并以三元组标准格式将非结构化文本数据转化为结构化数据;最后,采用MongoDB数据库和VUE前端技术实现知识图谱的可视化呈现.结果 共纳入11篇指南、4篇专家共识、6篇证据总结作为图谱的知识来源.图谱本体模式层包括8个实体类型和关系类型,人工抽取124个实体,形成121组三元组,最终完成乳腺癌癌因性疲乏管理知识图谱的可视化.结论 乳腺癌癌因性疲乏管理知识图谱以图形形式呈现疲乏管理知识脉络,能够提供知识存储和知识搜索功能.
Abstract
Objective To construct a knowledge graph for management of cancer-related fatigue in breast cancer survivors,and to lay a foundation for developing personalized recommender system and intelligent question answering system in the health field.Methods A top-down approach was used to construct the knowledge graph.First,we constructed the data resource by evidence-based litera-ture review;second,we built domain ontology to normalize the knowledge of cancer-related fatigue management;third,we ma-nually extracted knowledge from the data resource and translated the knowledge from unstructured text to structured data as"Enti-ty-Relation-Entity"triples;and finally,we used the MongoDB database and Vue.js for knowledge visualization.Results A total of 11 guidelines,4 expert consensus statements,and 6 evidence summaries were included for data resources.The domain ontology covered 8 entity types and 8 relationship types.A total of 124 entities were manually extracted to form 121 triples.Finally,we de-veloped the visual presentation of the cancer-related fatigue management for breast cancer survivors.Conclusion The knowledge graph for management of cancer-related fatigue in breast cancer survivors can present the relationships among fatigue management knowledge,and is useful in knowledge storage and knowledge retrieval.
关键词
乳腺癌/癌因性疲乏/疲乏管理/症状管理/知识图谱/人工智能/数智化/肿瘤护理Key words
breast cancer/cancer-related fatigue/fatigue management/symptom management/knowledge graph/artificial intelligence/digital intelligence/oncology nursing引用本文复制引用
基金项目
国家自然科学基金资助项目(72374048)
上海市卫生健康委员会资助项目(20234Y0088)
出版年
2024
NETL
NSTL
万方数据